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Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence

Issue Published : November 30, 2022
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

New Personalized Social Approach Based on Flexible Integration of Web Services

https://doi.org/10.34306/italic.v1i1.85
Prakriti Rashi
Graphic Era Hill University Bhimtal Campus
Manoj Chandra Lohani
Graphic Era Hill University Bhimtal Campus
Ninda Luftiani
University of Raharja
Teddy Hermansyah
University of Raharja
Ihsan Nuril Hikam
University of Raharja

International Transactions on Artificial Intelligence, Vol. 1 No. 1 (2022): International Transactions on Artificial Intelligence
Article Published : November 24, 2022

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Abstract

Dynamic design or coordination stays one of the significant difficulties of web administration innovation. This article gives an inventive way to deal with the robust making of web administrations given practical and non-utilitarian properties and individual inclinations. This approach utilizes long-range informal communication web administrations to help the connection between web administrations, choice, and formation of web benefits all the more firmly connected with client inclinations. We utilize the web administration local area idea of the web administration informal community to essentially lessen the inquiry space. This people group was made with the immediate interest of web specialist co-ops.

Keywords

Web service Knowledge Representation Web Intelligence Artificial Intelligence

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References
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References


B. Benatallah, Q. Z. Sheng, and M. Dumas, “The self-serv environmentfor web services composition,”IEEE internet computing, vol. 7, no. 1,pp. 40–48, 2003.

F. Casati, S. Ilnicki, L. Jin, V. Krishnamoorthy, and M.-C. Shan,“Adaptive and dynamic service composition in eflow,” inInternationalConference on Advanced Information Systems Engineering.Springer,2000, pp. 13–31.

F. Casati, M. Sayal, and M.-C. Shan, “Developing e-services for compos-ing e-services,” inInternational Conference on Advanced InformationSystems Engineering. Springer, 2001, pp. 171–186.

M.-C. Fauvet, H. Duarte, M. Dumas, and B. Benatallah, “Handlingtransactional properties in web service composition,” inInternationalConference on Web Information Systems Engineering. Springer, 2005,pp. 273–289.

J. Golbeck, “Trust and nuanced profile similarity in online socialnetworks,”ACM Transactions on the Web (TWEB), vol. 3, no. 4, pp.1–33, 2009.

M. N. Huhns and M. P. Singh, “Service-oriented computing: Keyconcepts and principles,”IEEE Internet computing, vol. 9, no. 1, pp.75–81, 2005..

S. Chowdhury, S. P. Chowdhury, and P. Crossley, Microgrids and Active Distribution Networks. Institution of Engineering and Technology, 2009.

Y. Jiang, J. Liu, M. Tang, and X. Liu, “An effective web service recommendation method based on personalized collaborative filtering,” in 2011 IEEE International Conference on Web Services. IEEE, 2011, pp. 211–218.

G. Kang, J. Liu, M. Tang, X. Liu, B. Cao, and Y. Xu, “Awsr: Active web service recommendation based on usage history,” in 2012 IEEE 19th International Conference on Web Services. IEEE, 2012, pp. 186–193.

E. Khanfir, R. B. Djmeaa, and I. Amous, “Automated publish, discovery and composition of intentional web services adaptable to both quality and context,” in 2016 IEEE 18th International Conference on High Per- formance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2016, pp. 639– 646.

]T. J. Klein, C. Lambertz, G. Spagnolo, and K. O. Stahl, “The actual structure of ebay’s feedback mechanism and early evidence on the effects of recent changes,” International Journal of Electronic Business, vol. 7, no. 3, pp. 301–320, 2009.

L. Liu, F. Lecue, and N. Mehandjiev, “Semantic content-based recom- mendation of software services using context,” ACM Transactions on the Web (TWEB), vol. 7, no. 3, pp. 1–20, 2013.

W. Lo, J. Yin, S. Deng, Y. Li, and Z. Wu, “Collaborative web service qos prediction with location-based regularization,” in 2012 IEEE 19th international conference on web services. IEEE, 2012, pp. 464–471.

]Z. Maamar, M. Lahkim, D. Benslimane, P. Thiran, and S. Sattanathan, “Web services communities concepts and operations,” 2007.

]Z. Maamar, L. K. Wives, Y. Badr, and S. Elnaffar, “Even web services can socialize: A new service-oriented social networking model,” in 2009 International Conference on Intelligent Networking and Collab- orative Systems. IEEE, 2009, pp. 24–30.

]D. Martin, M. Paolucci, S. McIlraith, M. Burstein, D. McDermott, D. McGuinness, B. Parsia, T. Payne, M. Sabou, M. Solanki et al., “Bringing semantics to web services: The owl-s approach,” in In- ternational Workshop on Semantic Web Services and Web Process Composition. Springer, 2004, pp. 26–42.

D. V. McDermott, “Estimated-regression planning for interactions with web services.” in AIPS, vol. 2, 2002, pp. 204–211.

H. Mcheick and A. Hannech, “Semantic web services adaptation and composition method,” in Proc. The Eighth International Conference on Internet and Web Applications and Services, 2013, pp. 45–51.

S. McIlraith and T. C. Son, “Adapting golog for composition of semantic web services,” Kr, vol. 2, no. 200, p. 2, 2002.

B. Medjahed, A. Bouguettaya, and A. K. Elmagarmid, “Composing web services on the semantic web,” The VLDB journal, vol. 12, no. 4, pp. 333–351, 2003.

A. Metrouh and F. Mokhati, “Social web services discovery: A community-based approach,” in Proceedings of International Con- ference on Information Integration and Web-based Applications & Services, 2013, pp. 275–279.

——, “A novel social networks approach based on qos for web services selection,” in Proceedings of the Mediterranean Conference on Pattern Recognition and Artificial Intelligence, 2016, pp. 92–97.

A. Metrouh, H. Seridi-Bouchelaghem, and F. Mokhati, “Web services discovery-a novel social networks approach based on communities,” in International Conference on Enterprise Information Systems, vol. 2. SCITEPRESS, 2012, pp. 316–319.

I. M u¨ller and R. Kowalczyk, “Service composition through agent- based coalition formation,” in Proc. of the first workshop on Service Composition with Semantic Web Services, 2005, pp. 44–53.

T. Osman, D. Thakker, and D. Al-Dabass, “Bridging the gap between workflow and semantic-based web services composition,” [email protected] ABCDE FGHC6D• I, p. 13, 2005.

J. Rao and X. Su, “A survey of automated web service composition methods,” in International Workshop on Semantic Web Services and Web Process Composition. Springer, 2004, pp. 43–54.

M. Matskin, “Application of linear logic to web service composition,” 2003.

L. Shao, J. Zhang, Y. Wei, J. Zhao, B. Xie, and H. Mei, “Personalized qos prediction forweb services via collaborative filtering,” in Ieee international conference on web services (icws 2007). IEEE, 2007, pp. 439–446.

M. Sheshagiri, T. Finin et al., “A planner for composing services described in daml-s,” in Proceedings of the AAMAS Workshop on Web Services and Agent-based Engineering,, 2003.

S. A. McIlraith, D. Plexousakis, and F. Van Harmelen, The Semantic Web-ISWC 2004: Third International Semantic Web Conference, Hi- roshima, Japan, November 7-11, 2004. Proceedings. Springer, 2004, vol. 3298.

M. Tang, Y. Jiang, J. Liu, and X. Liu, “Location-aware collaborative filtering for qos-based service recommendation,” in 2012 IEEE 19th international conference on web services. IEEE, 2012, pp. 202–209.

R. Waldinger, “Web agents cooperating deductively,” in International Workshop on Formal Approaches to Agent-Based Systems. Springer, 2000, pp. 250–262.

]B. Wang and X. Tang, “Designing a self-adaptive and context-aware service composition system,” in 2014 IEEE Computers, Communica- tions and IT Applications Conference. IEEE, 2014, pp. 155–160.

]Y. Wang and J. Vassileva, “Toward trust and reputation based web service selection: A survey,” International Transactions on Systems Science and Applications, vol. 3, no. 2, pp. 118–132, 2007.

X. Wang, T. Vitvar, M. Kerrigan, and I. Toma, “A qos-aware selection model for semantic web services,” in International Conference on Service-Oriented Computing. Springer, 2006, pp. 390–401.

D. Wu, B. Parsia, E. Sirin, J. Hendler, and D. Nau, “Automating daml-s web services composition using shop2,” in International semantic web conference. Springer, 2003, pp. 195–210.

L. Yao, Q. Z. Sheng, A. Segev, and J. Yu, “Recommending web services via combining collaborative filtering with content-based features,” in 2013 IEEE 20th International Conference on Web Services. IEEE, 2013, pp. 42–49.

E. S. Pramono, D. Rudianto, F. Siboro, M. P. A. Baqi, and D. Ju- lianingsih, “Analysis investor index indonesia with capital asset pric- ing model (capm),” Aptisi Transactions on Technopreneurship (ATT), vol. 4, no. 1, pp. 36–47, 2022.

R. Yunita, M. S. Shihab, D. Jonas, H. Haryani, and Y. A. Terah, “Analysis of the effect of servicescape and service quality on customer satisfaction at post shop coffee tofee in bogor city,” Aptisi Transactions on Technopreneurship (ATT), vol. 4, no. 1, pp. 66–74, 2022.

I. M. Nasution, B. K. Bintaro, C. S. Kesumawati, M. Zahruddin, and E. A. Nabila, “Implementation technology for development of a brand communication in company pt. xyz,” Aptisi Transactions on Technopreneurship (ATT), vol. 4, no. 1, pp. 17–25, 2022.

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P-ISSN : 2963-6086
E-ISSN : 2963-1939
Journal DOI : 10.34306

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International Transactions on Artificial Intelligence
ISSN: 2963-1939 (online), 2963-6086 (print)
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